Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52501
Título: Quantitative volcanic susceptibility analysis of Lanzarote and Chinijo Islands based on kernel density estimation via a linear diffusion process
Autores/as: Galindo, I.
Romero, M.C.
Sánchez, N.
Morales, J.M. 
Clasificación UNESCO: 250621 Vulcanología
2507 Geofísica
Palabras clave: Canary-Islands
Dyke Emplacement
Probability
Tenerife
Anomalies, et al.
Fecha de publicación: 2016
Publicación seriada: Scientific Reports 
Resumen: Risk management stakeholders in high-populated volcanic islands should be provided with the latest high-quality volcanic information. We present here the first volcanic susceptibility map of Lanzarote and Chinijo Islands and their submarine flanks based on updated chronostratigraphical and volcano structural data, as well as on the geomorphological analysis of the bathymetric data of the submarine flanks. The role of the structural elements in the volcanic susceptibility analysis has been reviewed: vents have been considered since they indicate where previous eruptions took place; eruptive fissures provide information about the stress field as they are the superficial expression of the dyke conduit; eroded dykes have been discarded since they are single non-feeder dykes intruded in deep parts of Miocene-Pliocene volcanic edifices; main faults have been taken into account only in those cases where they could modified the superficial movement of magma. The application of kernel density estimation via a linear diffusion process for the volcanic susceptibility assessment has been applied successfully to Lanzarote and could be applied to other fissure volcanic fields worldwide since the results provide information about the probable area where an eruption could take place but also about the main direction of the probable volcanic fissures.
URI: http://hdl.handle.net/10553/52501
ISSN: 2045-2322
DOI: 10.1038/srep27381
Fuente: Scientific Reports [ISSN 2045-2322], v. 6, article number 27381, (Junio 2016)
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